scholarly journals The study of genetic distinctions of brown Swiss cattle breed with using STR-markers

2021 ◽  
pp. 58-63
Author(s):  
Olga Sergeevna Romanenkova ◽  
Valeria Vladimirovna Volkova ◽  
Anna Aleksandrovna Zimina
Keyword(s):  
Genetic Diversity ◽  
Cattle Breed ◽  
Sample Collection ◽  
Brown Swiss ◽  
Str Markers ◽  
Population Structure Analysis ◽  
High Level ◽  
Amova Analysis ◽  
Genetic Analyzer ◽  
Brown Swiss Cattle

The study of allele pool condition and genetic diversity of Brown Swiss cattle breed was conducted with using STR-markers. Sample collection included samples (n=347) of five breeds: Russian selection Brown Swiss (BSH1), German selection Brown Swiss (BSH2), Jersey (DJ), Simmental (SIM), Kostromskaya(KOS) and Holstein (HOLSH). Polymorphism of 11 microsatellite loci was studied on 16-channell genetic analyzer ABI3130xl. A total of 393 allales with minimal number in DJ group (54) and maximal in SIM group (84) were founded. The number of alleles per locus ranged from 25 (BM1824) to 50 (TGLA122) and average number of alleles per locus ranged from 4.33 (TGLA126) to 8.33 (TGLA122) with a mean of 5.95. Effective number of alleles per locus varied from 2.88 (DJ) to 3.76 (BSH2). Maximal (4.64) and minimal (3.73) numbers of informative alleles were found in BSH2 and BSH1 groups, respectively. Observed heterozygosity range exceeded 0.70 in all groups, except DJ. A total of 23 private alleles were detected ranged from 0,005 (SIM) to 0,385 (DJ). AMOVA analysis showed that 80.068% of variation was observed within populations while 5.186% of variability was intergroup differences. The population structure analysis showed a high level of belonging of all groups to their own cluster. The FCA method revealed an overlapping of multilocus genotypes of BSH1, BSH2 иKOS groups.  The results we obtained reveal a high level of genetic diversity in Russian population of Brown Swiss cattle breed.

PSVIII-2 Genetic diversity analysis of hybrid Karachaev goats (Capra hircus) population using microsatellite marker data

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 242-243
Author(s):  
Oleg Fomenko ◽  
Sergey N Petrov
Keyword(s):  
Genetic Diversity ◽  
The Body ◽  
Capra Hircus ◽  
Breeding Programs ◽  
Str Markers ◽  
Marker Data ◽  
Indigenous Breed ◽  
Fertile Hybrids ◽  
Genetic Analyzer ◽  
Hybrid Forms

Abstract The Karachaev goat is an indigenous breed that possesses unique features including significantly less fat deposition in the body compared to sheep and cattle, ability to graze at an altitude of up to 1200 meters and to produce fertile hybrids with wild relatives. To understand the genetic diversity and population structure of hybrids between domestic Karachaev goats (Capra hircus) and The West Caucasian tur (Capra caucasica) 143 individuals were analyzed using 10 microsatellites panel. Sample were analyzed according to the manufacturer’s recommendations on an automatic sequencer, ABI 3130XL genetic analyzer (Applied Biosystems). Genetic diversity was calculated using GenAlEx 6.503 software. Genotyping of ten microsatellite loci in hybrid forms of Karachaev goats and turs detected 106 alleles in total. Na values ranged from five (INR063) to seventeen (SRCRSO008), averaging 10.6 alleles per locus across the 10 loci. All loci were polymorphic. The average number of alleles was 10.6 alleles per locus. This is higher than the similar indicator obtained by Kharzinova et al. (2019) in populations of Soviet wool, Tajik wool, Orenburg downy, Alpine and Zaanen dairy breeds of goats, studied using the panel of same 10 STR-markers (9.3 loci). Other key indexes of genetic diversity could be found in table 1. The values of the coefficient FIS suggest the absence of related mating in the herd. Information on genotypic variability of Karachaev goats hybrid forms obtained here will contribute into the breeding programs improvement and to preservation of existing native breeds.

scholarly journals Analysis of Genetic Diversity in three Kazakh Sheep using 12 Microsatellites

2018 ◽  
Vol 7 (4.38) ◽  
pp. 122
Author(s):  
Kairat Dossybayev ◽  
Aizhan Mussayeva ◽  
Bakytzhan Bekmanov ◽  
Beibit Kulataev
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Mean Value ◽  
Fixation Index ◽  
Merino Sheep ◽  
Str Markers ◽  
Sheep Breeds ◽  
Str Loci ◽  
High Level ◽  
Two Populations

The genetic structure of three Kazakh sheep breeds was examined by using 12 microsatellite loci. A total of 144 alleles were detected from the 12 STR loci, with a mean value of 12.0. The highest allele diversity was found at the locus CSRD247 (16 alleles). PIC value showed that all studied STR markers are more informative and appropriate for genetic analysis of three Kazakh sheep populations. Beside of INRA006, all markers had high level of genetic variability. As Fixation index shows, the excess of the heterozygosity was observed only in loci MAF065. Obtained number of private alleles in Edilbai, Kazakh Arkhar Merino and Kazakh Fine-wool sheep were 25, 17 and 15 respectively. Genetic diversity was higher in Edilbai population than in other two populations. The genetic variability was lower in Kazakh Arkhar Merino sheep than in the Edilbai and Kazakh Fine-wool sheep breeds. The genetic distance was the largest between Edilbai and Kazakh Arkhar Merinos. Also, the moderate differentiation was observed between Edilbai and Kazakh Arkhar Merinos.   

scholarly journals ASSESSMENT OF GENETIC DIVERSITY OF SORGHUM [SORGHUM BICOLOR (L.) MOENCH] GERMPLASM IN EAST AND CENTRAL AFRICA

2016 ◽  
Vol 1 (3) ◽  
pp. 115
Author(s):  
Shadia A. Salih ◽  
Labuschange T. Labuschange ◽  
Abdalla H. Mohammed
Keyword(s):  
Genetic Diversity ◽  
Genetic Resources ◽  
Central Africa ◽  
Genetic Erosion ◽  
Eastern Region ◽  
Strong Impact ◽  
Climate Change Scenarios ◽  
Population Structure Analysis ◽  
Sorghum Production ◽  
High Level

The study of genetic diversity in crops has a strong impact on plant breeding and maintenance of genetic resources. Comprehensive knowledge of the genetic biodiversity of cultivated and wild sorghum germplasm is an important prerequisite for sustainability of sorghum production. Recurrent droughts resulting from climate change scenarios’ in many East and Central Africa countries, where sorghum is a significant arable crop, can potentially lead to genetic erosion and loss of valuable genetic resources. This study aimed at assessing the extent and pattern of genetic diversity and population genetic structure among sorghum accessions from selected countries in East and Central Africa (Sudan, Kenya, Uganda, Ethiopia, Eritrea, Rwanda and Burundi) using39 microsatellites markers. The studied loci were polymorphic and revealed a total of 941 alleles in 1108 sorghum genotypes. High levels of diversity were revealed with Sudan (68.5) having the highest level of genetic diversity followed by Ethiopia (65.3), whereas Burundi (0.45) and Rwanda (0.33) had the lowest level of genetic diversity. Analysis of molecular variance indicated, all variance components to be highly significant (p<0.001). The bulk of the variation was partitioned within countries (68.1%) compared to among countries (31.9%). Genetic differentiation between countries based on FST values was high and highly significant (FST=0.32). Neighbour-joining (NJ) analysis formed two distinct clusters according to geographic regions, namely the central region (Kenya, Burundi, Uganda and Rwanda) and the eastern region (Sudan, Ethiopia, and Eritrea). Population structure analysis revealed six distinct populations corresponding to NJ analysis and geographical origin of accessions. Countries clustered independently with small integration, which indicated the role of farmers’ practices in the maintenance of landrace identity and genetic diversity. The observed high level of genetic diversity indicated that germplasm from East Africa should be preserved from genetic erosion, especially in countries with the highest diversity.

scholarly journals Study of genetic diversity of Iranian indigenous buffalo populations using microsatellite markers

Genetika ◽  
2019 ◽  
Vol 51 (1) ◽  
pp. 147-155
Author(s):  
Darestani Yousefi ◽  
Ashtiani Miraei ◽  
Mostafa Sadeghi
Keyword(s):  
Genetic Diversity ◽  
Genetic Structure ◽  
Microsatellite Markers ◽  
Salting Out ◽  
Hair Samples ◽  
Pcr Products ◽  
Sustainable Conservation ◽  
High Level ◽  
Amova Analysis

Indigenous buffalo breeds represent a unique genetic resource, and understanding their variability, population structure and breeding units is important for their sustainable conservation. In the present study the genetic structure of Iranian buffalo populations was analyzed using ten microsatellite markers. Two hundred hair samples were collected and DNA was extracted using modified salting out method. After Polymerase Chain Reaction (PCR), the PCR products were electrophoresed using 9% polyacrylamide gel. Fifty- nine alleles were observed for all the loci. The average number of alleles was 5.90 and the effective average number of alleles was 4.86. The high level of mean heterozygosity index between three populations indicate that the genetic diversity is high in within and between populations. The mean of polymorphism information content (PIC) value for all loci was 0.70. The FST value for the total loci was 0.01, indicating a very low level of genetic structure among populations. The genetic structure AMOVA analysis showed that about 3% of the total genetic variation was explained by population differences and 97 percent was corresponded to differences among individuals. The obtained results at the present study indicated that characterization of genetic diversity by employing molecular tools is a prerequisite in developing strategies for conservation and utilization of buffalo genetic resources.

GENETIC DIFFERENTIATION BY STR-MARKERS AND PRODUCTIVITY TRAITS OF KARACHAEV GOATS FROM DIFFERENT BREEDING ZONES

2021 ◽  
Vol 1 (19) ◽  
pp. 349-352
Author(s):  
A.M. Aibazov ◽  
T.V. Mamontova ◽  
V.R. Kharzinova ◽  
N.A. Zinovieva
Keyword(s):  
Genetic Diversity ◽  
Genetic Differentiation ◽  
Live Weight ◽  
Mountain Area ◽  
Str Markers ◽  
Genetic Differentiation Of Populations ◽  
High Level

Data have been obtained indicating differences by the live weight and exterior appearance of Karachaev goats bred in the mountain area, foothill, and plain-hill zone. A high level of genetic diversity and a clear genetic differentiation of populations from different breeding zones on the basis of STR-markers have been established.

scholarly journals Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle

2019 ◽  
Author(s):  
Zih-Hua Fang ◽  
Hubert Pausch
Keyword(s):  
Quantitative Trait Loci ◽  
Quantitative Trait ◽  
Cattle Breed ◽  
Genome Wide Association Studies ◽  
Diverse Range ◽  
Brown Swiss ◽  
Body Conformation ◽  
Trait Loci ◽  
Meta Analyses ◽  
Brown Swiss Cattle

AbstractBackgroundThe Brown Swiss dual-purpose cattle breed is renowned for high milk and protein yield and long productive lifetime under different production conditions. However, little is known about the genetic architecture of those traits because only few genome-wide association studies (GWAS) have been carried out in this breed. Moreover, most GWAS had been performed for single traits, thus preventing insights into potentially existing pleiotropic effects of trait-associated loci.ResultsTo compile a comprehensive catalogue of large-effect QTL segregating in Brown Swiss cattle, we carried out association tests between partially imputed genotypes at 598,016 SNPs and daughter-derived phenotypes for more than 50 economically important traits, including milk production, growth and carcass quality, body conformation, reproduction and calving traits in 4,578 artificial insemination bulls from two cohorts of Brown Swiss cattle (Austrian-German and Swiss populations). Across-cohort multi-trait meta-analyses of the results from the single-trait GWAS revealed 25 quantitative trait loci (QTL; P < 8.36 x 10−8) for economically relevant traits on 17 Bos taurus autosomes (BTA). Evidence of pleiotropy was detected at five QTL located on BTA5, 6, 17, 21 and 25. Of these, two QTL at BTA6:90,486,780 and BTA25:1,455,150 affect a diverse range of economically important traits, including traits related to body conformation, calving, longevity and milking speed. Furthermore, the QTL at BTA6:90,486,780 seems to be a target of ongoing selection as evidenced by an integrated haplotype score of 2.49 and significant changes in allele frequency over the past 25 years, whereas either no or only weak evidence of selection was detected at all other QTL.ConclusionsOur findings provide a comprehensive overview of QTL segregating in Brown Swiss cattle. Detected QTL explain between 2 and 10% of the variation in the daughter-derived phenotypes and thus may be considered as the most important QTL segregating in the Brown Swiss cattle breed. Multi-trait association testing boosts the power to detect pleiotropic QTL and assesses the full spectrum of phenotypes that are affected by trait-associated variants.

scholarly journals LINEAR SCORING OF BROWN SWISS CATTLE BREED IN MONTENEGRO

2017 ◽  
Vol 63 (1) ◽  
Author(s):  
Dusica RADONJIC ◽  
Bozidarka MARKOVIC ◽  
Dragana DROBNJAK ◽  
Milan MARKOVIC
Keyword(s):  
Cattle Breed ◽  
Brown Swiss ◽  
Brown Swiss Cattle

REALIZATION OF PARENTAL INDICES OF COW PRODUCTIVITY IN DIFFERENT MILKING BREEDS AT BREEDING FARM "AGROFIRMA "PAKHMA"

2020 ◽  
Keyword(s):  
Milk Yield ◽  
Cattle Breed ◽  
Holstein Cattle ◽  
Milk Productivity ◽  
Cattle Breeds ◽  
Significant Difference ◽  
Production Indices ◽  
High Level ◽  
Beta Lactoglobulin ◽  
Percentage Protein

Combination of genotypes of main types’ genetic markers causes milk productivity in cattle. The article studies correlation between kappa casein genotypes (C3N3), beta-lactoglobulin (LGB), their complexes and milk production indices in cows bred under equal conditions at a breeding farm. The calculation of parental milk yield and fat indices between the three breeds showed a significant difference (P>0,999) of PCI of Ayrshire and Holstein cattle breed milk yield - 3395 kg, PCI of fat - 0,22%; between Holstein and Yaroslavl cattle breeds - 3200 kg, PCI offat - 0,16%. A significant difference of realization indices of protein between all three breeds was not stated. The highest realization ofparental milk yield index was stated - between Ayrshire and Yaroslavl cattle breeds- 113%, Holstein cattle breed - 88%. As for the fat and protein indices, all three cattle breeds showed a high realization of PCI from 98% to 109%. However, Holstein cattle breed showed the highest percentage: protein - 101%, fat - 109%. A significant difference of PCI realization of milk productivity in CSN3 and LGB genotypes was not stated. It was also stated that there is a tendency of high level parental indices realization when there is a higher number of B-allele variants in genotypes of cows.

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